Deep Learning-based User Behavior Data Mining in Precise Recommendation of E-commerce Platforms
Mar 17, 2025
About this article
Published Online: Mar 17, 2025
Received: Oct 16, 2024
Accepted: Jan 28, 2025
DOI: https://doi.org/10.2478/amns-2025-0327
Keywords
© 2025 Lanyan Yang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Data set statistics used in experiments
| Tags | Yoochoose1/64 | Diginetica |
|---|---|---|
| Click number | 605134 | 993528 |
| Training session | 372496 | 725681 |
| Test session | 59759 | 61543 |
| Commodity number | 17355 | 44262 |
| Average length | 6.22 | 5.34 |
Performance and stress test results of the system
| Tags | Sample size | Average response time/ms | Median response time /ms | The first 90% response time /ms | The first 99% response time/ms | Response time minimum/ms | Maximum response time/ms | Error rate |
|---|---|---|---|---|---|---|---|---|
| Log-in | 1600 | 128 | 84 | 159 | 347 | 58 | 482 | 0.00% |
| Click | 3200 | 56 | 41 | 68 | 239 | 52 | 354 | 0.00% |
| Collect | 2000 | 65 | 49 | 75 | 226 | 35 | 417 | 0.00% |
| Purchase | 1600 | 291 | 173 | 329 | 648 | 121 | 2213 | 0.00% |
| Evaluation | 1200 | 535 | 378 | 691 | 2384 | 171 | 2796 | 0.00% |
| Personalized recommendation | 3200 | 296 | 281 | 397 | 715 | 178 | 969 | 0.00% |